Diagnosis of Liner Scuffing Fault of a Diesel Engine via Vibration and Acoustic Emission Analysis

Abstract

Cylinder liner, piston rings, and piston are the key components which contribute to the overall performance and efficiency of the IC engines. Excessive temperature and pressure inside the combustion chamber, abrasive wear on the surfaces of liner and piston are major factors which degrade the performance and efficiency of the IC engines. The abnormal function of IC engine components causes an increase in sound and vibration levels of the engine structure and degrades the overall performance. The purpose of this work is to use signal processing techniques to extract fault-related information from sound and vibration signals of the IC engine. This work considers Fast Fourier transform and statistical feature extraction methods for monitoring the liner scuffing fault developed in the diesel engine. The performance, emissions, and cylinder pressure were also monitored to analyze the effect of liner scuffing fault. The results demonstrated that the aforementioned vibration signal analysis methods can be employed for the detection of liner scuffing fault in a diesel engine. The vibration and acoustic emission levels of the diesel engine were increased due to liner scuffing fault at all the loading conditions. The statistical feature parameters were increased at all the loading conditions due to the spurious effect of high-frequency amplitudes of vibration and acoustic signals. Furthermore, the performance parameters of the diesel engine were affected due to frictional losses caused due to liner scuffing fault.